This paper is published in Volume-7, Issue-3, 2021
Area
IT
Author
Soumya Mishra, Rupali Sapkal, Kirti Giramkar, Rutuja Shinde, Pragati Latelwar
Org/Univ
D. Y. Patil College of Engineering, Pune, Maharashtra, India
Pub. Date
01 June, 2021
Paper ID
V7I3-1612
Publisher
Keywords
SVM, Risk, WHO)

Citationsacebook

IEEE
Soumya Mishra, Rupali Sapkal, Kirti Giramkar, Rutuja Shinde, Pragati Latelwar. Machine Learning applied to Cervical Cancer Data, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Soumya Mishra, Rupali Sapkal, Kirti Giramkar, Rutuja Shinde, Pragati Latelwar (2021). Machine Learning applied to Cervical Cancer Data. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Soumya Mishra, Rupali Sapkal, Kirti Giramkar, Rutuja Shinde, Pragati Latelwar. "Machine Learning applied to Cervical Cancer Data." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

World Health Organization (WHO) calls cancer a generic term for a large group of diseases that can affect any part of the body. Sometimes it could be the cause of the loss of patients. Cancer mortality can be reduced if cases are detected and treated early. In this fact, it is important to determine someone has a high cancer risk by using a survey. In this study, a classification of patients due to their answers to a survey has been done to determine someone who has highly cervical cancer risk